Time domain blind source separation of non-stationary convolved signals by utilizing geometric beamforming

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

Volumn 2002-January, Issue , 2002, Pages 445-454

  Aichner, R ^a,c   Araki, S ^a   Makino, S ^a   Nishikawa, T ^b   Saruwatari, H ^b  

^a NTT Communication Science Laboratories   (Japan)

^b NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

^c UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTICS; ALGORITHMS; BEAMFORMING; BLIND SOURCE SEPARATION; FREQUENCY DOMAIN ANALYSIS; GEOMETRY; MIXTURES; SIGNAL PROCESSING;

ACOUSTIC SOURCES; CONVOLVED MIXTURES; FREQUENCY-DOMAIN BSS; GEOMETRIC INFORMATION; NATURAL GRADIENT; NON-STATIONARITIES; SECOND ORDER STATISTICS; SEPARATION PERFORMANCE;

TIME DOMAIN ANALYSIS;

EID: 84953720056     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2002.1030056     Document Type: Conference Paper

References (13)

1. S.-I. Amari, "Natural gradient works efficiently in learning," Neural Computation, vol. 10, pp. 251-276, 1998.
2. S. Araki, S. Makino, R. Mukai and H. Saruwatari, "Equivalence between Frequency Domain Blind Source Separation and Frequency Domain Adaptive Null Beamformers," in Proc. Eurospeech '01, Sept. 2001, pp. 2595-2598.
3. S. Araki, S. Makino, R. Mukai and H. Saruwatari, "Fundamental limitation of frequency domain Blind Source Separation for convolutive mixture of speech," in Proc. ICASSP '01, May 2001.
4. J.-F. Cardoso, "Blind signal separation: statistical principles," in Proc. IEEE '98, Oct. 1998, vol. 9, pp. 2009-2025.
5. S. Haykin (ed.), Unsupervised Adaptive Filtering, Volume 1 Blind Source Separation, John Wiley & Sons, 2000.
6. A. Hyvaerinen, J. Karhunen and E. Oja, Independent Component Analysis, John Wiley & Sons, 2001.
7. S. Ikeda and N. Murata, "A Method of [CA in time-frequency domain," in Proc. ICA '99, Jan. 1999, pp. 365-371.
8. M. Kawamoto, K. Matsuoka and N. Ohnishi, "A method of blind separation for convolved non-stationary signals," Neurocomputing, vol. 22, pp. 157-171, 1998.
9. T. Kobayashi, S. Itabashi, S. Hayashi and T. Takezawa, "ASJ continuous speech corpus for research," J. Acoust. Soc. Jpn., vol. 48, no. 12, pp. 888-893, 1992, (in Japanese).
10. T. Lee, Independent Component Analysis, Kluwer Academic Publishers, 1998.
11. T. Nishikawa, H. Samwatari and K. Shikano, "Blind source separation based on multistage ICA using frequency-domain ICA and time-domain ICA," in Proc. ICFS 2002, Mar. 2002, (accepted).
12. L. Parra and C. Alvino, "Geometric source separation: Merging convolutive source separation with geometric beamforming," in Proc. Neural Networks for Signal Processing, 2001.
13. X. Sun and S. Douglas, "A natural gradient convolutive Blind Source Separation algorithm for speech mixtures," in Proc. ICA '01, Dec. 2001.